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NPJ Digital Medicine|June 20, 2025
Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseasesEmily Alsentzer, Michelle M Li, Shilpa N Kobren, et al.Bioinformatics (Oxford, England)|October 12, 2018
Cross-type biomedical named entity recognition with deep multi-task learningXuan Wang, Yu Zhang, Xiang Ren, et al.Nature Methods|October 20, 2020
MARS: discovering novel cell types across heterogeneous single-cell experimentsMaria Brbić, Marinka Zitnik, Sheng Wang, et al.Artificial Intelligence in Medicine|November 3, 2022
A manifesto on explainability for artificial intelligence in medicineCarlo Combi, Beatrice Amico, Riccardo Bellazzi, et al.Arxiv|July 17, 2025
Spatia: Multimodal Model for Prediction and Generation of Spatial Cell PhenotypesZhenglun Kong, Mufan Qiu, John Boesen, et al.Nature Medicine|July 3, 2026
Generalizable AI predicts immunotherapy outcomes across cancers and treatmentsWanxiang Shen, Intae Moon, Thinh H Nguyen, et al.Genome Medicine|February 7, 2025
Digital twins as global learning health and disease models for preventive and personalized medicineXinxiu Li, Joseph Loscalzo, A K M Firoj Mahmud, et al.Medrxiv : the Preprint Server for Health Sciences|May 19, 2025
Generalizable AI predicts immunotherapy outcomes across cancers and treatmentsWanxiang Shen, Thinh H Nguyen, Michelle M Li, et al.Journal of Perinatology : Official Journal of the California Perinatal Association|May 26, 2021
Quantifying the variation in neonatal transport referral patterns using network analysisSarah N Kunz, Daniel Helkey, Marinka Zitnik, et al.Cell|November 1, 2024
Empowering biomedical discovery with AI agentsShanghua Gao, Ada Fang, Yepeng Huang, et al.Pageof 44